Some Multiple Correlation and Predictor Selection Methods
- 1 March 1960
- journal article
- research article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 25 (1) , 59-76
- https://doi.org/10.1007/bf02288934
Abstract
The Doolittle, Wherry-Doolittle, and Summerfield-Lubin methods of multiple correlation are compared theoretically as well as by an application in which a set of predictors is selected. Wherry's method and the Summerfield-Lubin method are shown to be equivalent; the relationship of these methods to the Doolittle method is indicated. The Summerfield-Lubin method, because of its compactness and ease of computation, and because of the meaningfulness of the interim computational values, is recommended as a convenient least squares method of multiple correlation and predictor selection.Keywords
This publication has 14 references indexed in Scilit:
- A factor analysis of aptitude and proficiency measures in radiotelegraphy.Journal of Applied Psychology, 1958
- A Note on Matrix Inversion by the Square Root MethodJournal of the American Statistical Association, 1956
- Statistical inference.Published by American Psychological Association (APA) ,1953
- A Square Root Method of Selecting a Minimum Set of Variables in Multiple Regression: II. A Worked ExamplePsychometrika, 1951
- Pearsonian Correlation Coefficients Associated with Least Squares TheoryThe Annals of Mathematical Statistics, 1949
- Note on the computation of the inverse of a triangular matrixPsychometrika, 1949
- The Square Root Method and its Use in Correlation and RegressionJournal of the American Statistical Association, 1945
- The Doolittle TechniqueThe Annals of Mathematical Statistics, 1941
- Some Properties of the Communality in Multiple Factor TheoryPsychometrika, 1936
- A Short Method for Solving for a Coefficient of Multiple CorrelationThe Annals of Mathematical Statistics, 1932